Search Results - "Singha, Sudhakar"

Delineation of Groundwater Prospect Zones in Arang Block, Raipur District, Chhattisgarh, Central India, Using Analytical Network Process by Singha, Sudhakar, Pasupuleti, Srinivas

“…The increasing trend of population growth, freshwater demand and unscientific land use planning lead to the shortage of precious groundwater resources. Present…”
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Knowledge-driven and machine learning decision tree-based approach for assessment of geospatial variation of groundwater quality around coal mining regions, Korba district, Central India by Singha, Soumya S., Singha, Sudhakar, Pasupuleti, Srinivas, Venkatesh, A. S.

“…The present study is aimed to assess the spatial variation of groundwater quality based on the influencing hydrogeological parameters in the surrounding mining…”
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Prediction of groundwater quality using efficient machine learning technique by Singha, Sudhakar, Pasupuleti, Srinivas, Singha, Soumya S., Singh, Rambabu, Kumar, Suresh

“…To ensure safe drinking water sources in the future, it is imperative to understand the quality and pollution level of existing groundwater. The prediction of…”
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Groundwater characterization and non-carcinogenic and carcinogenic health risk assessment of nitrate exposure in the Mahanadi River Basin of India by Pasupuleti, Srinivas, Singha, Soumya S., Singha, Sudhakar, Kumar, Suresh, Singh, Rambabu, Dhada, Indramani

“…Agriculture is the mainstay of India's economy and chemical fertilizers have been extensively used to meet increasing demands. Anthropogenic interventions at…”
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Effectiveness of groundwater heavy metal pollution indices studies by deep-learning by Singha, Sudhakar, Pasupuleti, Srinivas, Singha, Soumya S., Kumar, Suresh

“…Globally, groundwater heavy metal (HM) pollution is a serious concern, threatening drinking water safety as well as human and animal health. Therefore,…”
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A fuzzy geospatial approach for delineation of groundwater potential zones in Raipur district, India by Singha, Sudhakar, Das, Pragnya, Singha, Soumya S.

“…Delineation of groundwater potential zones was carried out using fuzzy geospatial approach for the sustainable groundwater resource management in Raipur…”
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Study on predicting compressive strength of concrete using supervised machine learning techniques by Varma, B. Vamsi, Prasad, E. V., Singha, Sudhakar

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A GIS-based modified DRASTIC approach for geospatial modeling of groundwater vulnerability and pollution risk mapping in Korba district, Central India by Singha, Soumya S., Pasupuleti, Srinivas, Singha, Sudhakar, Singh, Rambabu, Venkatesh, A. S.

“…Intensive use of fertilizers in the agricultural lands and a swift-flying of coal and allied industries in Korba district, India in an unprecedented manner has…”
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Analytic network process based approach for delineation of groundwater potential zones in Korba district, Central India using remote sensing and GIS by Singha, Soumya S., Pasupuleti, Srinivas, Singha, Sudhakar, Singh, Rambabu, Venkatesh, A. S.

“…The need for augmentation of groundwater resources is attributed to the rapid urbanization and manifold increase in the population in the Indian context. To…”
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An analytical hierarchy process-based geospatial modeling for delineation of potential anthropogenic contamination zones of groundwater from Arang block of Raipur district, Chhattisgarh, Central India by Singha, Sudhakar, Pasupuleti, Srinivas, Durbha, Krishna Sandilya, Singha, Soumya S., Singh, Rambabu, Venkatesh, A. S.

“…In the present study, identification of groundwater zones that are affected by anthropogenic contaminants based on litho-hydrogeological parameters has been…”
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A knowledge-driven multi-criteria decision making- Analytical Hierarchy Process based geospatial modeling for the delineation of fluoride contamination zones in groundwater, Jamui district, Indo-Gangetic alluvial plains, India by Kumar, Suresh, Singha, Sudhakar, Singh, Rambabu, Venkatesh, A.S., Gogoi, Utpal

“…This study presents a framework to delineate the potential fluoride contamination zones within the groundwater of the study area by employing GIS coupled with…”
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